Cloud Security Manager - Azure Infrastructure & AI

Deloitte T.T.L.
Kansas City, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Kansas City, United States of America

Tech stack

Artificial Intelligence
Azure
Cloud Computing Security
Data Integrity
Data Security
Microsoft Security Essentials
Azure
Software Security
AI Platforms
Bicep
Machine Learning Operations
Terraform
Azure

Job description

Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever-changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As a Cloud Security Senior Manager, Azure Infrastructure & AI on the Enterprise Security team, you will be responsible for…

  • Leading Microsoft security teams for large, complex client engagements focused on Microsoft Azure and artificial intelligence (AI) security services, including strategy, design, implementation, and adoption

  • Leading multiple Azure and AI security projects in project leader and program manager roles, overseeing onsite and offshore engineers and architects to deliver quality outcomes aligned to client objectives

  • Designing and implementing security controls for Azure AI Services, including Azure OpenAI Service, Azure Machine Learning, Cognitive Services, and AI Studio, with protections embedded from development through deployment

  • Developing AI security playbooks and governance controls covering encryption, access control, data integrity, model scanning, model governance, data security, and secure deployment practices across Azure environments

  • Building and automating secure cloud and machine learning operations (MLOps) pipelines using tools such as Azure Policy, Azure Resource Manager (ARM), Bicep, and Terraform to establish consistent security guardrails across Azure platforms and AI services

  • Leading business development, client relationship management, technical health checks, proof of concept efforts, operational transitions, thought leadership, and talent development activities within the Microsoft Azure and AI security space

Requirements

  • Ability to work independently and collaborate as part of a team

  • Effective written and verbal communication skills

  • Meticulous attention to detail and quality of work product

  • Ability to build and sustain professional relationships

  • Ability to lead projects or workstreams

  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

  • Strong interpersonal skills and professional demeanor

  • Ability to meet deadlines

  • Ability to mentor and p

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